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Should one learn traditional ML in the times of Agentic AI?

Should one learn traditional ML in the times of Agentic AI?
Short answer:
Yes, because that could be your competitive advantage.
Long answer:
Traditional machine learning has not gone anywhere; it’s just that not many people talk about it now. However, its still very much relevant.
Building machine learning models using your own structured data still has many use cases in various industries.
For example:
Banking & Insurance: Claim prediction, credit scoring, fraud detection
Telecom: Network fault prediction
Manufacturing: quality inspection
and so on
You don’t necessarily need an LLM or an AI agent to solve these problems.
In many cases, a well-trained XGBoost or Random Forest model is a more practical solution.
Lets look at some of the other reasons:
1. Structured data isn’t going away
Enterprises have enormous amounts of structured data sitting in databases and CRM platforms.
Much of this data is still best addressed using statistical and traditional ML techniques.
2. The combination could be a competitive advantage
Imagine two AI engineers:
- Engineer A knows how to build AI agents using LLMs, RAG, and MCP.
- Engineer B knows all of that, but also understands feature engineering, classification, regression, forecasting, and model evaluation.
Engineer B has a broader set of tools to solve business problems.
In fact. even the RBI and Bank of England have documented the continued use of ML in banking, while Microsoft documents predictive ML applications in telecom networks.
Here is what could happen in the near future: many people will know how to build AI Agents.
But those who understand both traditional ML and Agentic AI will have a broader toolkit to solve real business problems.
Learn how to build basic ML model: https://www.aimletc.com/build-a-basic-ai-model-part1/
Traditional ML and Agentic AI courses exclusively for senior Tech professionals
If you’re a senior Tech professional looking to design and lead real AI systems, I run instructor-led, live Agentic AI programs focused on production trade-offs, and decision-making.
You can explore the programs here: https://www.aimletc.com/online-instructor-led-ai-llm-coaching-for-it-technical-professionals/
If you have questions, feedback, or disagree with something in this article, I’d love to hear your perspective. Connect with me on LinkedIn:
https://www.linkedin.com/in/nikhileshtayal/
Common questions about the programs are answered here:
https://www.aimletc.com/faqs-ai-courses-for-senior-it-professionals/



